428 research outputs found

    Attitudes and behaviours of key account managers:Are they really any different to senior sales professionals?

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    This study investigates the range of attitudes and behaviours exhibited by Key Account Managers (KAMs) in their roles as customer relationship managers. Specifically, we test whether KAMs exhibit different behaviours and attitudes towards relationship management compared to other sales professionals based on a range of assumptions currently theorized but untested in the Key Account Management (KAM) literature. Utilizing the existing theoretical models of a KAM role we identify six major areas of relational behaviour assumed in the literature to separate the KAM from the sales professional. Drawing on a cross sectional quantitative study of 10 organizations and 409 key account managers, sales managers, and senior sales executives we explore goal orientation, planning, customer embeddedness, strategic prioritization, adaptability and internal management behaviours of our groups and find that, in certain managerial tasks, KAMs do indeed exhibit many of the different behaviours and attitudes predicted in the literature. However, in many customer-facing, goal orientated and revenue generating activities, contrary to expectations, they display similar attitudes and behaviours to those in senior sales roles. This challenges the way that the KAM role has previously been conceptualized. Our findings raise a potential issue for senior managers, since KAMs' unexpectedly short term orientation may lead to insufficient consideration of the strategic consequences of their decisions for these key customer relationships

    Where's the strategic intent in key account relationships?

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    Mechanosensitive Expression of a Lipoxygenase Gene in Wheat

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    Systemic Acquired Resistance.

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    An ecosystems analysis of how sales managers develop salespeople

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    Purpose The purpose of this study is to identify and explain how leadership behaviors of sales managers can enhance the development of salespeople within the context of those interpersonal connections and interactions that is the sales ecosystem. Design/methodology/approach The authors collected and analyzed qualitative data from in-depth interviews with a sample of 36 sales professionals. Over 47 hours of interviews were transcribed and analyzed via NVivo. The statements were labeled as particular leader behaviors using the Miles and Huberman (1994) coding system. Findings The study identifies coaching, customer engaging, collaborating and championing as the four key leader behaviors that are relevant to the sales ecosystem. Specifically, coaching and customer engaging enhance the individual microsystems of salespeople; and collaborating and championing enhance the corresponding mesosystems. Analysis of the interview statements further revealed that trust, confidence, optimism and resilience are four relational elements that tend to coexist with these leader behaviors in the sales ecosystem. Practical implications This study provides a structure for sales organizations to strengthen their sales ecosystem through targeted interventions and training for those that manage salespeople. Past research finds that sales organizations too often neglect this type of managerial training. Originality/value This is the first study to examine sales leadership through the lens of Bronfenbrenner’s (1979) ecological systems theory. Further, the qualitative methodology, which is relatively unique in sales research, provides rich data that is particularly useful for exploring how and why things have happened

    A qualitative study of leader behaviors perceived to enable salesperson performance

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    This study builds on and extends previous sales leadership research by exploring sales professionals’ perceptions of effective leadership behaviors. Semistructured interviews with both sales leaders and salespeople working in a global enterprise software company were examined through a qualitative analysis. Results indicated that participants believed sales leadership played an important role in influencing sales performance. When asked to describe specific sales leader behaviors that best enable salesperson performance, sales professionals – both sales leaders and salespeople – overwhelmingly referenced coaching, followed by collaborating, championing, and customer engaging. We define and describe these four key sales leader behaviors and identify four potential mediating variables (trust, confidence, optimism, and resilience), from which emerges a conceptual framework of sales leader behaviors perceived to enable salesperson performance. We examine these four key sales leader behaviors and mediators in the broader context of leadership theory, particularly transformational, servant, authentic, and adaptive leadership theories. The key contribution of this study is the identification of a set of leader behaviors that are likely to be especially effective in modern sales organizations given that they originated from the perceptions of sales professionals themselves

    Acquired resistance in Arabidopsis.

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    α-Hydroxybutyrate Is an Early Biomarker of Insulin Resistance and Glucose Intolerance in a Nondiabetic Population

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    Background: Insulin resistance is a risk factor for type 2 diabetes and cardiovascular disease progression. Current diagnostic tests, such as glycemic indicators, have limitations in the early detection of insulin resistant individuals. We searched for novel biomarkers identifying these at-risk subjects. Methods: Using mass spectrometry, non-targeted biochemical profiling was conducted in a cohort of 399 nondiabetic subjects representing a broad spectrum of insulin sensitivity and glucose tolerance (based on the hyperinsulinemic euglycemic clamp and oral glucose tolerance testing, respectively). Results: Random forest statistical analysis selected alpha-hydroxybutyrate (alpha-HB) as the top-ranked biochemical for separating insulin resistant (lower third of the clamp-derived M(FFM) = 33 [12] mu mol.min(-1).kg(FFM)(-1), median [interquartile range], n = 140) from insulin sensitive subjects (M(FFM) = 66 [23] mu mol.min(-1).kg(FFM)(-1)) with a 76% accuracy. By targeted isotope dilution assay, plasma alpha-HB concentrations were reciprocally related to M(FFM); and by partition analysis, an alpha-HB value of 5 mu g/ml was found to best separate insulin resistant from insulin sensitive subjects. alpha-HB also separated subjects with normal glucose tolerance from those with impaired fasting glycemia or impaired glucose tolerance independently of, and in an additive fashion to, insulin resistance. These associations were also independent of sex, age and BMI. Other metabolites from this global analysis that significantly correlated to insulin sensitivity included certain organic acid, amino acid, lysophospholipid, acylcarnitine and fatty acid species. Several metabolites are intermediates related to alpha-HB metabolism and biosynthesis. Conclusions: alpha-hydroxybutyrate is an early marker for both insulin resistance and impaired glucose regulation. The underlying biochemical mechanisms may involve increased lipid oxidation and oxidative stress

    Application of combined omics platforms to accelerate biomedical discovery in diabesity

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    Diabesity has become a popular term to describe the specific form of diabetes that develops late in life and is associated with obesity. While there is a correlation between diabetes and obesity, the association is not universally predictive. Defining the metabolic characteristics of obesity that lead to diabetes, and how obese individuals who develop diabetes different from those who do not, are important goals. The use of large-scale omics analyses (e.g., metabolomic, proteomic, transcriptomic, and lipidomic) of diabetes and obesity may help to identify new targets to treat these conditions. This report discusses how various types of omics data can be integrated to shed light on the changes in metabolism that occur in obesity and diabetes
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